This project focuses on designing and implementing an automated CI/CD pipeline using Google Cloud Build and Cloud Deploy for a microservices-based application. It manages the complete workflow from source code commit to automated testing, container image creation, and deployment to GKE. Deployment strategies such as canary and blue-green are applied to minimize downtime and release risk. Monitoring and rollback mechanisms are configured to ensure reliability. The project reflects real-world DevOps pipelines used in enterprise cloud environments.

This project focuses on deploying and operating a highly available application on Google Kubernetes Engine using SRE principles. It manages workload scaling, health checks, and resource optimization while defining SLIs, SLOs, and error budgets. Cloud Monitoring and Logging are implemented for observability, and alerting policies are configured for proactive incident response. The project reflects real-world reliability engineering practices used by large-scale cloud-native organizations.

This project focuses on automating the provisioning of Google Cloud infrastructure using Terraform. It manages compute, networking, IAM, and Kubernetes resources through infrastructure as code. Version-controlled configurations, state management, and environment separation are implemented to ensure consistency and scalability. The project reflects real-world infrastructure automation practices adopted by enterprise DevOps teams.